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senior data software engineer

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Data Software Engineering, Databricks, Python, PySpark, Microsoft Azure, SQL Azure

Join our remote team as a Senior Data Software Engineer within a global leader at the forefront of cybersecurity technologies, unified endpoint management, and intelligent automation services. We are actively seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities
  • Develop and implement Proof of Concept (POC) for the replacement of the external vendor inside of Estee Lauder Azure infrastructure.
  • Setup required Azure services for POC
  • Extract data from data lake (EDL)
  • Process data based on application requirements & architecture
  • Mimic the current existing application.
  • Prioritize and ensure high-quality standards at every stage of development
  • Guarantee reliability, availability, performance, and scalability of systems
  • Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
  • Provide technical input for new feature requirements, partnering with business owners and architects
  • Ensure continuous improvement by staying abreast of industry trends and emerging technologies
  • Drive the implementation of solutions aligned with business objectives.
  • Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
  • Participate in code reviews, ensuring code quality and adherence to standards
  • Collaborate with cross-functional teams to achieve project goals
  • Actively contribute to architectural and technical discussions
requirements
  • At least 3 years of production experience in Data Software Engineering
  • Be hands-on with deep expertise in Python and PySpark for building scalable data processing pipelines
  • Deep expertise in Microsoft Azure for designing and building cloud-based infrastructure and applications
  • Experience with SQL Azure for designing and managing database schema, including procedures, triggers, and views
  • Familiarity with Databricks for data engineering and analytics
  • Support applications and systems in a production environment, ensuring timely resolution of issues
  • Reviewing requirements and translating them into a documented technical design for implementation
  • Exposure to containerization technologies such as Docker for application packaging and deployment
  • Experience with Python web services (e.g., Django, Flask) for building scalable and high-performance applications
  • Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
nice to have
  • Experience with Advanced SQL is a plus

benefits for locations

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For you
  • Discounts on health insurance, sport clubs, shopping centers, cinema tickets, etc.
  • Stable income
  • Flexible roles
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For your comfortable work
  • 100% remote work forever
  • EPAM hardware
  • EPAM software licenses
  • Access to offices and co-workings
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
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For your growth
  • Free trainings for technical and soft skills
  • Free access to LinkedIn Learning platform
  • Language courses
  • Free access to internal and external e-Libraries
  • Certification opportunities
  • Skill advisory service
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